Computational scarcity is the limitation of available computing capacity by energy, hardware, supply chains, and physical infrastructure. It becomes a governance issue when access to processing power and data throughput shapes economic activity and institutional capability.
Digital systems are often perceived as infinitely scalable. In practice, computation is constrained by energy, hardware, supply chains, and physical infrastructure.
As artificial intelligence, automation, and simulation expand, access to compute becomes a strategic resource. Scarcity no longer centers solely on land, labor, or capital; it increasingly centers on processing power, data throughput, and energy-backed computation.
In such conditions, those who control computational capacity shape economic growth, technological progress, and governance capability.
This site does not argue that scarcity is artificial or temporary.
It marks a structural reality: computation is becoming a limited and contested resource at the core of future civilization.
This page is intentionally minimal.
It exists to ensure the term Computational Scarcity has a stable place to stand.
「計算稀缺性」是可用運算能力受到能源、硬體、供應鏈與實體基礎設施限制的狀態。當處理能力與資料傳輸量的取得影響經濟活動及制度能力時，它便成為治理問題。
數位系統常被視為可無限擴張， 但實際上運算受到能源、硬體、供應鏈與物理基礎設施限制。
隨著人工智慧、自動化與模擬規模化，算力逐漸成為戰略資源；稀缺不再僅圍繞土地、勞動與資本，而愈來愈圍繞處理能力、資料吞吐與能源支撐的計算。
在這樣的條件下， 誰掌握算力，誰就形塑經濟成長、科技進步與治理能力。
本站並不主張稀缺是暫時或人為的。
它標示的是一個結構現實：計算正成為未來文明核心的受限資源。
本頁刻意維持極簡。
它存在，是為了確保 計算稀缺性（Computational Scarcity） 這個概念能有一個穩定的立足點。